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Python data analysis : data manipulation and complex data analysis with Python /
Data analysis techniques generate useful insights from small and large volumes of data. Python, with its strong set of libraries, has become a popular platform to conduct various data analysis and predictive modeling tasks. With this book, you will learn how to process and manipulate data with Pytho...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing,
2017.
|
| Edición: | Second edition. |
| Temas: | |
| Acceso en línea: | Texto completo Texto completo |
MARC
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|---|---|---|---|
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| 003 | OCoLC | ||
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| 100 | 1 | |a Fandango, Armando, |e author. | |
| 245 | 1 | 0 | |a Python data analysis : |b data manipulation and complex data analysis with Python / |c Armando Fandango. |
| 250 | |a Second edition. | ||
| 264 | 1 | |a Birmingham : |b Packt Publishing, |c 2017. | |
| 300 | |a 1 online resource (v, 307 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 588 | 0 | |a Online resource; title from PDF title page (EBSCO, viewed September 22, 2017) | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Getting started with Python libraries -- NumPy Arrays -- The Pandas Primer -- Statistics and Linear Algebra -- Retrieving, Processing, and Storing Data -- Data Visualization -- Singal Processing and Time Series -- Working with Databases -- Analyzing Textual Data and Social Media -- Predictive Analytics and Machine Learning -- Environments Outside the Python Ecosystem and Cloud Computing -- Performance Tuning, Profiling, and Concurrency | |
| 520 | 3 | |a Data analysis techniques generate useful insights from small and large volumes of data. Python, with its strong set of libraries, has become a popular platform to conduct various data analysis and predictive modeling tasks. With this book, you will learn how to process and manipulate data with Python for complex analysis and modeling. We learn data manipulations such as aggregating, concatenating, appending, cleaning, and handling missing values, with NumPy and Pandas. The book covers how to store and retrieve data from various data sources such as SQL and NoSQL, CSV fies, and HDF5. We learn how to visualize data using visualization libraries, along with advanced topics such as signal processing, time series, textual data analysis, machine learning, and social media analysis. The book covers a plethora of Python modules, such as matplotlib, statsmodels, scikit-learn, and NLTK. It also covers using Python with external environments such as R, Fortran, C/C++, and Boost libraries. | |
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Python (Computer program language) | |
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| 650 | 6 | |a Python (Langage de programmation) | |
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| 650 | 7 | |a Programming languages (Electronic computers) |2 fast | |
| 650 | 7 | |a Python (Computer program language) |2 fast | |
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